Replicator dynamics of cancer stem cell: Selection in the presence of differentiation and plasticity
Introduction
According to clonal evolution theory, most tumours arise from single cells through multiple genetic alterations accumulated over time. However, the cancer stem cell hypothesis suggests that cancer cells with similar genetic background originate from a transformed cell which can initiate the rest of tumour population [1], [2], [3], [4]. This subpopulation of tumour initiating cells, known as cancer stem cells, are hypothesized to be a result of somatic mutations of a normal adult stem cell giving it a proliferative advantage and as a result generating clonal outgrowth in the tissue which leads to the formation of a neoplasm [5], [6], [7]. Combination of these mutation/proliferation mechanisms and microenvironmental factors leads to different stages of cancer progression [8], [9], which results in genetically and phenotypically heterogeneous tumours [4], [10].
Stem cells can divide both symmetrically into two daughter stem cells (self-renewal) or two daughter progenitor cells (full differentiation), or asymmetrically into a daughter stem cell and a progenitor cell (partial differentiation). Progenitor cells then divide hierarchically into a population of fully differentiated functional tissue cells which lack proliferative potential [11]. This polarity in cancer stem cell division is observed in different cancer types. For breast carcinomas, it has been shown that activating the ErbB2 oncogene increases the self-renewal potential of cancer stem cells significantly [12]. Similarly, p53 inactivation leads to not only almost immortal stem cells but also a higher divisional polarity [12]. p53 is also reported to impose an asymmetric proliferation potential on other non-stem cell linages [13]; see also [14].
In addition to the tumour initiating potential of cancer stem cells, another distinctive feature of cancer cells is their high phenotypic plasticity. One aspect of such plasticity is the dedifferentiation potential possessed by stem cell progenitors. During dedifferentiation progenitors (or differentiated cells) can transform back spontaneously into a stem cell thus lending further credence to the vivid concept of cancer stem cells as tumour initiating cell [15]. Recent in-vitro experiments have demonstrated the dedifferentiation potential of different cancer type cell lines. For breast cancer, purified populations of non-stem cells, CD44low/CD24hi (basal and luminal cell lines), created a population of CD44hi/CD24low, which is a marker for stemness [16]. It has been also shown that a population where the majority are non-stem cells, CD44low/CD24hi, gives rise to a higher mammosphere formation rate which is a measure of stemness [17]. The role of dedifferentiation in intestinal tumorigenesis is investigated in [18], where it is shown that elevating the levels of the transcription factor which modulate Wnt signaling, induces dedifferentiation in the (non-stem cell) intestinal epithelial cell population and thus can lead to tumourigenesis. In the context of leukaemia, the leukemia-initiating cell marker has been observed in the fraction of non-leukemia initiating cells [1], [19].
It has been suggested that as cancer progresses towards more aggressive metastatic phenotypes, the dedifferentiation potential increases [15]. The dedifferentiation of non-stem cells may arise due to (stochastically) genetic or epigenetic mutations, or the epithelial-mesenchymal transition (EMT), a cellular differentiation process wherein epithelial cells adopt mesenchymal features [15]. It has been shown that EMT induced cells have a higher dedifferentiation potential while at the same time they display features resembling stem cell [20], [21], [22]. Thus, beside the mutation/clonal expansion model of cancer progression which leads to genomic heterogeneity in the tumour population, inclusion of hierarchal stem cell proliferation and the dedifferentiation potential of cells leads to more phenotypic heterogeneity inside a tumour. More importantly, cell plasticity shadows the concept of stem cells, in the sense that we cannot compare the two populations of normal and cancer stem cells competing via their corresponding proliferation strengths, but rather the population of non-stem cells has to be included in the picture of the selection process and Darwinian evolution of the tumour.
Mathematical models of selection processes so far have treated the selection mechanism among cancer stem cell populations and normal population assuming higher division rate for mutants due to activation and inactivations of oncogenes/tumour suppressor genes that regulate the growth factor signalling pathways inside the cell. These models were able to successfully describe the selection process occurring prior to each new clonal expansion (due to a new mutation). The dynamics of tumour suppressor gene inactivation in particular has been investigated in the literature in detail [23], [24], [25]; see [26] for a thorough review of evolutionary modeling in cancer. However, there has not been much work with regard to stem cell hierarchy proliferation potential and its effect on selection dynamics. Some recent works have focused on the asymmetric nature of stem cell division. Dingli, Traulsen and Michor [27] studied the time to fixation of mutant stem cell selection using a simplified birth-death model of two stem cell population which divides asymmetrically, ignoring the population progenitors and differentiated cells (perhaps for simplicity). A recent computational study by Sprouffske et al. [28], has investigated the effect of an asymmetric division scheme for stem cells by simulating stem cells with random fitness and have discussed Darwinian selection and the existence of disadvantageous subpopulations in the formation of neoplasms. Shahriyari and Komarova [29] have also addressed the evolutionary advantage/disadvantages of symmetric versus asymmetric differentiation by constructing a Moran-type process for one and two-hit mutation models and have analyzed the effect of differentiated cell compartment in the effectiveness of the mutations among stem cell compartment. More recently, Jilkine and Gutenkunst [30] considered a stochastic model for differentiation and dedifferentiation and investigated time to mutation acquisition in the presence of dedifferentiation mechanism for progenitors of stem cells. They also discussed how asymmetric versus symmetric differentiation can affect the efficiency of dedifferentiation process. The cancer stem cell hypothesis has also been applied in the context of drug resistance as an evolutionary process by Leder et al. [31].
The present work aims to provide a general framework to study the selection dynamics of cancer versus normal stem cells by including asymmetric differentiation, in addition to stem cell self-renewal. This introduces a more challenging mathematical model which now contains two competing stem cell populations and a third differentiated cell compartment, which now both stem cells populations are competing with. By introducing a Moran-type stochastic model for this three-compartment model, we derive replicator-type dynamics for the three populations of cancer stem cells, normal stem cells and differentiated cells as a function of time. We show that the condition for successful invasion by the cancer stem cells not only depends on their higher division rate or lower death rate, but also on differentiation rate or polarity of their asymmetric division. In constructing the birth-death model we assume three independent parameters for the death rates of mutant stem cells, normal stem cells and the differentiated cell population. An important feature of our model is that dedifferentiation events can be naturally added to the model. We discuss dedifferentiation (assumed only for cancer stem cells) in detail and show that the proliferation advantage is not only a function of relative fitness of two stem cells and their corresponding differentiation rates but also depends on the strength of plasticity and on the population of non-stem cells. We plot a phase diagram between advantageous and disadvantageous regimes in the space of fitness, plasticity and, differentiation probabilities. We show that assuming finite dedifferentiation rates (consistent with numerical estimate from experiments) a seemingly disadvantageous mutant can successfully initiate clonal expansion into a neoplasm.
The paper is organized as follows: In Section 2 we formulate a Moran-type model of stem cell differentiation and dedifferentiation and report the replicator dynamics in the presence of differentiation and dedifferentiation potentials. We also discuss the analytical result of the fixation time for this model in the absence of dedifferentiation. In Section 3 we discuss numerical solutions of the replicator dynamics and investigate the population dynamics and average time to fixation of a mutant stem cell as one varies division rates of the stem cell population, relative death rates of stem cells and differentiated cells and differentiation probabilities. Similarly, we look at time to fixation and whether a mutant is advantageous or disadvantageous by varying both relative division rates and dedifferentiation potential. In Section 4 we discuss the implications for cancer therapeutics and also possible future directions of investigation.
Section snippets
Replicator dynamics of differentiation and dedifferentiation
We consider a model of two stem cell populations and a population of partially/fully differentiated cells (Fig. 2). Normal stem cells divide with a rate r1 and die with rate d1 per generation. In each division event, a stem cell can divide (1) symmetrically into two daughter stem cells with probability ω1, (2) asymmetrically into one daughter stem cell and one progenitor with probability u1 and (3) fully differentiate into two daughter progenitor cells with probability v1 (Fig. 3). The
Time to fixation and steady state fraction of cancer stem cell
We numerically integrate the system of equations in Eq. (4) and plot (Fig. 6) the stem cell frequencies as function of proliferation and death rates in addition to differentiation probabilities. In addition to time to fixation, the value of the steady state fractions can be read off from these plots. In most of the cancer initiation cases, the population of normal and differentiated cells are in equilibrium prior to introduction of the mutant stem cell. The equilibrium fraction between stem
Discussion and implications on cancer therapeutics
In this work we constructed a general model of stem cell selection dynamics by including the population of differentiated cells into a Moran-type model which governs the stochastic dynamics of both stem cell and non-stem cell species at the same time. Although the non-stem cell (differentiated) population lacks proliferative potential its population can increase through the differentiation of stem cells. Our model allows us to proceed with investigating the conditions for having a successful
Acknowledgment
M. Kohandel and S. Sivaloganathan are supported by the Natural Sciences and Engineering Research Council of Canada (NSERC, discovery grants) as well as an NSERC/CIHR Collaborative Health Research grant.
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